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Earlier sources: Artificial Intelligence
Artificial intelligence covers systems that learn from data, generate content, perceive their surroundings, or act toward a goal. Follow model research, agent tooling, evaluation, and the infrastructure used to build and run these systems.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗5983 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- Hacker News · Posted on Hacker News · First archived
Hark Pro – Personal AI that can use the web and get things done for you ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
I gave an AI agent one bug 11 times. 6 commits had files it never knew about ↗
Hacker News discussion.
- arXiv · Published · First archived
Agentic RCA for Internet-Scale Services Using Constrained Creativity ↗
System administrators of Internet-scale services need to resolve failure incidents to maintain reliability of such services. Ideally, we want a troubleshooting system to be: (1) expressive to known and unknown incidents with high accuracy; (2) cost efficient at scale; (3) explainable to provide actionable insights operators can act on; and (4) entail low effort from the operators. Unfortunately, most existing systems, including emerging LLM-assisted agentic workflows and structured frameworks for authoring diverse RCA algorithms fall short of achieving all four requirements. We present E4, a n…
- arXiv · Published · First archived
Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness ↗
Recent game design agents have made substantial progress in generating playable games. However, program correctness does not ensure an enjoyable experience for players. We present Recursive Game Creator, an experience-oriented harness to advance agentic game development from rough game prototypes into entertaining games. Recursive Game Creator organizes recursive development around four components: Designer, Builder, Player, and Reviewer. The Designer translates user instructions and Reviewer's feedback into detailed plans. The Builder turns these plans into candidate games. The coding-native…
- arXiv · Published · First archived
Demo: Closed-Loop Sionna-Isaac Sim Co-Simulation Framework for Wireless-Aware Robot Navigation over ROS 2 ↗
A robot that offloads its control loop to the network carries the receiver with it, so link quality is decided by where it goes. Simulating this requires both a physics engine and a site-specific propagation model at once; to our knowledge no simulator natively unifies both, with existing couplings of the two limited to offline analyses. We demonstrate a real-time co-simulation framework coupling NVIDIA Isaac Sim and NVIDIA Sionna over ROS 2 that closes the perception-action-communication (PAC) loop between them. Sionna ray-traces the base-station-to-robot channel over the exact geometry Isaac…
- Hacker News · Posted on Hacker News · First archived
OpenAI is adding text watermarking in ChatGPT and Codex ↗
Hacker News discussion.
- GitHub · Repository created · First archived
mmlong818/open-academic-paper-gen ↗
Multi-agent pipeline that turns a research topic into a draft paper grounded in real literature, with citation hallucination detection and claim-support checking.
- Hacker News · Posted on Hacker News · First archived
Can an AI agent still act after the operator has stopped its authority? ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Ask HN: How come everyone is an LLM expert? ↗
It is a bit strange how new model is released and hour after there is commentators declaring it complete trash and embarrassment to the AI industry, or the best thing since sliced bread. Surely they have not had the opportunity to test the ins and outs of the model yet? Or do people just blindly trust benchmarks as if they were not pretty easy to manipulate, as research has shown quite a few times now? Or is it just all vibe? So how do you measur…
- Hacker News · Posted on Hacker News · First archived
Your Language Model Is Not-So-Secretly a System 1 Model ↗
Hacker News discussion.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Artificial Intelligence
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.